数据稀缺性问题是协同过滤技术面临的主要挑战。
Data sparsity problem is a potential challenge of collaborative filtering.
协同过滤技术在智能搜索引擎中起到了重要作用，它的核心思想是用户会倾向于利用具有相似意向的用户群产品。
Collaborative filtering technology played an important role in the intelligent search engines, and its cote idea is the users tend to use like - minded user group products.
其中，个性化推荐系统中的协同过滤推荐是迄今为止应用最广泛、最成功的推荐技术。
The collaborative filtering for the personalized recommendation is by far the most widely used and the most successful personalized recommender technology.
协同过滤推荐算法是在电子商务推荐系统中最成功的技术之一。
Collaborative filtering recommendation algorithm is one of the most successful technologies in thee-commerce recommendation system.
协同过滤是目前应用较为成功的信息推送技术，但也遇到了数据稀疏性、冷启动等种种问题。
Collaborative filtering is a successful technology in information push, but this method has encountered data sparse, cold start and other issues.
协同过滤是个性化推荐系统中应用最广泛和最成功的推荐技术，但是它也面临着推荐准确度和可扩展性两大挑战。
Collaborative filtering is the most widely used and successful technology for personalized recommender systems. However it faces challenges of scalability and recommendation accuracy.
协同过滤是个性化推荐系统中应用最广泛和最成功的推荐技术，但是它也面临着推荐准确度和可扩展性两大挑战。
Collaborative filtering is the most widely used and successful technology for personalized recommender systems. However it faces challenges of scalability and recommendation accuracy.
应用推荐